Triple
T17066163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Gabès |
E414093
|
entity |
| Predicate | hasCityOnCoast |
P969
|
FINISHED |
| Object | Gabès |
E1067538
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gabès | Statement: [Gulf of Gabès, hasCityOnCoast, Gabès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabès Context triple: [Gulf of Gabès, hasCityOnCoast, Gabès]
-
A.
Gabès
chosen
Gabès is a coastal city in southeastern Tunisia known as an oasis on the Gulf of Gabès and a strategic location in World War II.
-
B.
Mahdia
Mahdia is a historic coastal city in present-day Tunisia that served as the first capital of the Fatimid Caliphate and an important Mediterranean trading and naval center.
-
C.
Aït Bouzid
Aït Bouzid is a town located in the mountainous Kabylie region of northern Algeria, within Tizi Ouzou Province.
-
D.
Ben Arous
Ben Arous is a city in northeastern Tunisia that serves as an important suburban and industrial center just south of the capital, Tunis.
-
E.
Manouba
Manouba is a city in northern Tunisia that serves as an administrative and educational hub on the outskirts of the capital, Tunis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db8171348190ab68d2e4f05f7120 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017934b4e08190b54865802ead49fb |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:34 a.m.